LoRA Land🎢
Fine-tuned LLMs that outperform GPT-4, served on a single GPU
PROMPT Enter prompt input(s) and click “Run” to generate a response from the fine-tuned LLM and base model.
FINE-TUNED MODEL RESPONSE
BASE MODEL RESPONSE Mistral 7B Instruct
Built on Open Source Foundations
Fine-Tuned On Managed Infra
State-of-the-art fine-tuning techniques such as quantization, low-rank adaptation, and memory-efficient distributed training combined with right-sized compute to ensure your jobs are successfully trained as efficiently as possible.
Cost-Efficient Inference
Stop wasting time managing distributed clusters–get fully managed, optimized compute configured for your needs without all the time and cost.
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LoRA Land: Fine-Tuned Open-Source LLMs that Outperform GPT-4
LoRA Land is a collection of 25+ fine-tuned Mistral-7b models that outperform GPT-4 in task-specific applications. This collection of fine-tuned OSS models offers a blueprint for teams seeking to efficiently and cost-effectively deploy AI systems.
Introducing the first purely serverless solution for fine-tuned LLMs
Serverless Fine-tuned Endpoints allow users to query their fine-tuned LLMs without spinning up a dedicated GPU deployment. Only pay for what you use, not for idle GPUs. Try it today with Predibase’s free trial!
What is LoRAX? | Open Source LoRA ML Framework for Serving 100s of Fine-Tuned LLMs in Production
Discover what LoRAX is and how it helps serve 100s of fine-tuned LLMs using LoRA. Learn how to download LoRAX, optimize inference, and scale deployment with this open-source tool.